The Use of Ontology in Dental Restorative Treatment Decision Support System

  • Authors:

  • Seon Gyu Park;Sungin Lee;Myeng-Ki Kim;Hong-Gee Kim

  • Affiliations:

  • College of Dentistry, Seoul National University, South Korea;Biomedical Knowledge Engineering Lab, Seoul National University, South Korea;College of Dentistry, Seoul National University, South Korea;Biomedical Knowledge Engineering Lab, Seoul National University, South Korea

  • Venue:
  • Proceedings of the 2010 conference on Formal Ontology in Information Systems: Proceedings of the Sixth International Conference (FOIS 2010)
  • Year:
  • 2010

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Abstract

Finding appropriate caries treatments is of paramount importance in dental decision making. That is, finding restorative treatment alternatives predicated on the dental disease and findings are advantageous and gainful in dental restorative decision making. The most immediate problem in clinical decision support systems in dentistry is to capture a doctor's clinical knowledge of treatments. This study is to specify the inter-relations among disease, anatomy, and treatment for restorative treatment decision support, and to conceptualize restorative treatment. As an explanatory example, we expound the developmental process of our ontology, and the formal approach used, for caries treatment.